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This research focuses on exploring a psychological mechanism between abusive supervision and job engagement via job insecurity and job alternative to understand how frontline construction workers' perceived abusive supervision impacts on their work engagement.

This study draws on the conservation of resources theory (COR) to postulate that workers' job insecurity acts as a mediation between abusive supervision and work engagement, and the perception of job alternative moderates the impact of abusive supervision on job insecurity. This study empirically tests survey data from 357 frontline construction workers and adopts partial least square structural equation modeling (PLS-SEM) to test the proposed model.

This paper proved the dark-side of abusive supervision, dual character of job insecurity and moderating role of job alternative. The game-changing mediation effects of job insecurity were examined, which suggested that work engagement would be higher when abusive supervision stimulates stronger job insecurity. Furthermore, the result indicated that the relationship between abusive supervision and job insecurity should be weaker when job alternative is high.

This research suggests construction project managers (CPMs) must take steps such as enhancing supervisors' emotional management skills to control frequency of abuse and thus lessen compromising engagement. Moreover, overall understanding frontline workers' job insecurity is meaningful for better construction performance management.

This research contributes to the disputed leadership style (abusive supervision) and positive psychology knowledge (work engagement) in construction projects by unveiling the psychosocial mechanism (game-changing effects of job insecurity) of construction frontline workers positive engaged feeling. This study highlights the function of personal and job resources in process of resource conservation.

Knowledge sharing is a key part of enterprise knowledge management, which helps to develop and use knowledge-related resources and ultimately achieve organizational goals. This study aims to theoretically discuss and empirically investigate the mechanism by which the intention to share knowledge is influenced by employees’ attitudes, social pressure and job characteristics.

Based on the theory of planned behavior, this study uses primary data collected from technology companies in the Yangtze River Delta region of China based on a longitudinal tracking research method of different variables at two different points in time. The data from 287 questionnaires were investigated by hierarchical regression analysis and processed with SPSS 21.0.

The findings suggest that attitudes toward knowledge sharing, perceived social norms and job autonomy positively affect knowledge-sharing intentions. Job autonomy plays a moderating role in the relationship between perceived social norms and knowledge-sharing intentions. Specifically, job autonomy positively moderates the effect of pro-sharing norms on knowledge-sharing intentions and negatively moderates the effects of subjective norms on knowledge-sharing intentions.

This study brings together employees’ and work-related characteristics to systematically explore the influence of employees’ personal evaluations of knowledge sharing. Additionally, by empirically distinguishing between subjective and pro-sharing norms, the study contributes to a better understanding of the antecedents of knowledge sharing and other voluntary behaviors at the individual level.

The purpose of this paper is to gain an understanding of the current research on Internet-plus.

The authors collected scholarly publications from the scientific databases Web of Science, Core Collection, Inspec and Compendex (Ei Village 2) and performed statistical analysis of the retrieved data from five perspectives.

The research on Internet-plus has obtained increasing attention in China. The top three research fields were social science, education and management.

The study will help researchers understand the current trends on Internet-plus.

The purpose of this paper is to timely control of a construction collapse accident effectively during its development process by constructing a stage model and then aligning IT with each stage to help provide the information for decision making.

Through comprehensive literature review, this paper first identifies the various IT applications in on-site construction monitoring and analyzes the existed disaster/crisis stage models, also the stage models are compared with the causation models to illustrate the strengths. Then, a three-step methodology was conducted to develop and apply the conceptual framework, including the construction of the four-stage model; the establishment of the conceptual framework of information technology (IT) support for management of construction accidents (ITSMCA); and a building collapse accident used to illustrate the proposed framework.

The accident is divided into four stages, which are incubation stage, outbreak stage, spreading stage and final stage. The real-time staged information to support decision making, such as the contributing factors of on-site workers, materials, equipment and workplace, can be provided by emerging IT. Therefore, IT is aligned with the variations of contributing factors’ attributes in the four stages and ITSMCA is constructed to help accidents management.

The focus of the framework presented in this paper is that the stage model is effective for it catches the variations of the attributes whose values can be provided by IT rather than research on the practical application of the IT system. The construction and application of the IT system will be the research focus in the future.

This paper presents a stage model of a building collapse accident and gives a comprehensive conceptual framework of ITSMCA, which align the IT with different stages of the collapse accident. The ITSMCA proposes a feasible ideology and practical method for real-time management of the collapse accident during the process.

Given a product or service, the number of its installed user base has a significant positive effect on the existing users’ loyalty and new users’ conversion. This effect is conceptualized as network externalities in economics. Network externalities are supposed to be particularly striking in nowadays online business-to-business (B2B) platforms, but yet the mystery behind their effects on user loyalty to online B2B platforms remains to be delicately unraveled. The purpose of this paper is to discover the factors driving users’ loyalty, especially buyers’ loyalty, to online B2B platforms, by highlighting the impacts of network externalities on loyalty and other mediating factors.

A conceptual model of buyer loyalty under network externalities is elaborated. The reliability and validity of the instruments of the latent model constructs are assessed by confirmatory factor analysis, and the hypothesized causal relationships among the constructs are tested by structural equation modeling, on 710 valid buyer samples collected from a famous online B2B platform in China.

The analysis demonstrates that: perceived value, user satisfaction and switching costs are the major predictors of buyer loyalty to online B2B platforms characterized by network externalities; network externalities positively account for buyer loyalty by contributing to perceived value, user satisfaction and switching costs; and direct network externality (measured by perceived network size and perceived external prestige) has a significant effect on indirect network externality (measured by perceived compatibility and perceived complementarity).

The findings allow the authors to conclude meaningful managerial implications for online B2B service providers to build up loyal user bases through improving users’ perceptions of network externalities, switching costs and value.

Based on the perspectives of social capital, image motivation and motivation affordances, this paper explores the direct and moderation effects of different kinds of motivations (i.e. relationship-based motivation, community-based motivation and individual-based motivation) on users' continuous knowledge contributions in social question and answer (Q&A) communities.

The authors collect the panel data of 10,193 users from a popular social Q&A community in China. Then, a negative binomial regression model is adopted to analyze the collected data.

The paper demonstrates that social learning, peer recognition and knowledge seeking positively affect users' continuous contribution behaviors. However, the results also show that social exposure has the opposite effect. In addition, self-presentation is found to moderate the influence of social factors on users' continuous use behaviors, while the moderation effect of motivation affordances has no significance.

First, this study develops a comprehensive motivation framework that helps gain deeper insights into the underlying mechanism of knowledge contribution in social Q&A communities. Second, this study conducts panel data analysis to capture the impacts of motivations over time, rather than intentions at a fixed time point. Third, the findings can help operators of social Q&A communities to optimize community norms and incentive mechanisms.

This paper aims to explore the relationships among local food consumption experience, cultural competence, eudaimonia, and behavioral intention. Building upon acculturation theory, need hierarchy theory and self-determination theory, the current study develops a conceptual model of local food consumption as international tourists’ acculturation process.

This study collects data from 305 Chinese outbound tourists and uses partial least squares-structural equation modeling to examine the developed model.

The findings reveal a significant effect of the local food consumption experience, consisting of novel, authentic, sensory and social dimensions, on cultural competence, which subsequently evokes eudaimonia and behavioral response toward local food. The mediating effect of cultural competence is also confirmed.

Destination marketers and restaurant managers should recognize local food consumption as a meaningful tool that contributes to tourists’ cultural competence and eudaimonic well-being during travel. They should strive to craft an indigenous consumption setting and provide employee training on the history and culture of local food, helping tourists understand local food customs and embrace different food cultures.

To the best of the authors’ knowledge, very few studies have attempted to examine the meaningful consequences of local food consumption through the theoretical lens of acculturation. This study dives into international tourists’ local food consumption and pioneers a conceptual model to capture how local food consumption experience provokes their eudaimonia and behavioral desires through the mechanism of cultural competence.

This paper aims to unravel the technological innovation pattern in China’s aerospace industry. The technological innovation pattern of China’s aerospace industry is identified and its theoretical foundation, structure, philosophy, formation and effects on the development of China’s aerospace industry are explored.

First, the theoretical foundation of synergy innovation of China’s aerospace industry is reviewed to further identify the technological innovation pattern. Second, Chinese ancient philosophy (dialectical thinking) is used to explain the structure and process of synergy innovation in China’s aerospace industry. Third, the formation process of synergy innovation is introduced, and, finally, the effects of synergy innovation are discussed.

The technological innovation pattern of China’s aerospace industry has undergone an evolutionary process. During this process, China’s aerospace firms have formed a unique technological innovation pattern, synergy innovation, under China’s special political and economic background. The synergy innovation has three characteristics, including original, integrated and application-based. The synergy innovation pattern application is one of the most important reasons behind the great achievements of China’s aerospace industry.

A unique technological innovation pattern, synergy innovation, is proposed for the first time. A new perspective for understanding innovation is provided by applying the Chinese dialectical thinking to decipher the philosophy of the technological innovation pattern. Based on this, this paper suggests that China’s aerospace industry should follow the situation and apply the synergy innovation pattern to achieve development and growth. This paper also illustrates a multi-method approach and emphasizes the different levels of organizing for innovation.

As a counterproductive interpersonal work behavior, knowledge hiding inhibits team creativity, hampers collaboration and ultimately has a detrimental impact on organizational performance. Drawing upon the impression management perspective. This study aims to investigate how and when employees’ political skill affects their knowledge-hiding behavior in real work contexts.

The authors tested the hypotheses using data gathered from 266 employees in China using a time-lagged research design.

The results indicate that political skill positively influences knowledge hiding through the supplication strategy. Moreover, the positive effect of political skill on this strategy is stronger under higher levels of competition.

A cross-sectional design and the use of self-report questionnaires are the limitations of this study.

The authors contribute to the literature on the emergence of knowledge hiding by identifying an impression management perspective. The authors also contribute to the literature on political skill by exploring the potential negative effects of political skill in the interpersonal interaction. Moreover, the authors enrich the understanding of the literature in competitive climate by introducing the impression management theory and exploring its influence on knowledge floating.

Based on sensory marketing theory and cognitive appraisal theory, this study investigates whether and how the background visual complexity of live-streaming affects consumers' purchase intention and reveals the underlying mechanisms through which background visual complexity influences consumers' purchase decisions.

The experiment was conducted with 180 college students, using eye-tracking technology to explore the impact mechanism of live background visual complexity on consumers' purchase intention, considering three types of background visual complexity (high vs medium vs low) and two levels of need for cognitive closure (high vs low).

Firstly, the background visual complexity of live-streaming positively influences consumers' purchase intention by eliciting positive emotions (pleasure and arousal), and the relationship between consumer emotions and purchase intention is nonlinear. Secondly, need for cognitive closure to significantly moderate the influence of background visual complexity on purchase intention.

The limited sample size makes it difficult to generalize to other consumer groups. Also, the study only focuses on one visual factor, lacking comprehensive analysis from multiple perspectives.

It is recommended that live e-commerce companies optimize the visual design of live-streaming backgrounds and identify consumer traits to match the visual complexity with consumers' level of need for cognitive closure, thereby stimulating positive emotions and facilitating more satisfactory shopping decisions.

This paper addresses an interesting and practical issue related to the effects of live background visual complexity on consumers' purchase intention.